Data Engineering Unlocked
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Data Engineering Unlocked
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Author : Rakesh G
language : en
Publisher: Notion Press
Release Date : 2025-03-22
Data Engineering Unlocked written by Rakesh G and has been published by Notion Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-22 with Computers categories.
Data Engineering Unlocked Master the Foundations of Data Engineering and Unlock the Power of Data "Data Engineering Unlocked" is your ultimate guide to navigating the ever-evolving world of Data Engineering. Designed for beginners, aspiring professionals, and industry leaders, this book breaks down complex concepts into clear, actionable insights. Through real-world examples and foundational principles, it demystifies the critical role of Data Engineers in shaping industries—from e-commerce recommendations to real-time healthcare analytics. Whether you’re exploring the basics or looking to deepen your expertise, this book equips you with the mindset, tools, and strategies to thrive in this high-demand field. Unlock the power of Data Engineering and step into the future.
Data Pioneers Unlocking Big Data Engineering Potential
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Author : Ravi Kumar Burila
language : en
Publisher: Libertatem Media Private Limited
Release Date : 2024-06-19
Data Pioneers Unlocking Big Data Engineering Potential written by Ravi Kumar Burila and has been published by Libertatem Media Private Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-19 with Business & Economics categories.
The era of big data has revolutionized industries, but navigating its complexities requires a deep understanding of engineering principles and cutting-edge tools. Data Pioneers: Unlocking Big Data Engineering Potential serves as a comprehensive guide for data engineers and IT professionals eager to master the art and science of big data systems. This book covers the evolution of big data, emphasizing core concepts like structured, semi-structured, and unstructured data while introducing readers to essential frameworks, including Hadoop, Apache Spark, and Delta Lake. Dive into the design and architecture of scalable pipelines, comparing batch and real- time processing, and learn how to harness tools like Kafka, Airflow, and NiFi to orchestrate seamless data flows. Beyond the technical, the book addresses vital aspects like data quality, governance, and security, offering strategies to ensure data accuracy, lineage, and compliance. From integrating data across APIs, databases, and sensors to leveraging cloud-native architectures for scalability, this guide equips readers with the knowledge to optimize every aspect of their data ecosystems. With practical insights, advanced analytics techniques, and real-world case studies, Data Pioneers delves into performance optimization, resource management, and the future of big data, exploring trends like AI integration and data fabric concepts. Whether you ’ re a seasoned engineer or new to the field, this book provides a roadmap to unlocking the full potential of big data engineering, driving innovation, and achieving sustainable growth in today’s data- driven world.
Data Engineering Unlocked
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Author : Rakesh G
language : en
Publisher: Notion Press
Release Date : 2025-03-18
Data Engineering Unlocked written by Rakesh G and has been published by Notion Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-18 with Computers categories.
Data Engineering Unlocked Master the Foundations of Data Engineering and Unlock the Power of Data "Data Engineering Unlocked" is your ultimate guide to navigating the ever-evolving world of Data Engineering. Designed for beginners, aspiring professionals, and industry leaders, this book breaks down complex concepts into clear, actionable insights. Through real-world examples and foundational principles, it demystifies the critical role of Data Engineers in shaping industries-from e-commerce recommendations to real-time healthcare analytics. Whether you're exploring the basics or looking to deepen your expertise, this book equips you with the mindset, tools, and strategies to thrive in this high-demand field. Unlock the power of Data Engineering and step into the future.
Ultimate Aws Data Engineering
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Author : Rathish Mohan
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2025-01-23
Ultimate Aws Data Engineering written by Rathish Mohan and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-23 with Computers categories.
TAGLINE Unlock the Power of AWS Data Engineering and Build Smarter Pipelines for Data-Driven Success. KEY FEATURES ● Gain an in-depth understanding of essential AWS services such as S3, DynamoDB, Redshift, and Glue to build scalable data solutions. ● Learn to design efficient, fault-tolerant data pipelines while adhering to best practices in cost management and security. ● Dive into real-world applications with hands-on knowledge of data replication, partitioning, orchestration, and machine learning integration. DESCRIPTION In today’s data-driven era, mastering AWS data engineering is key to building scalable, secure pipelines that drive innovation and decision-making. Ultimate AWS Data Engineering is your comprehensive guide to mastering the art of building robust, cost-effective, and fault-tolerant data pipelines on AWS. Designed for data professionals and enthusiasts, this book begins with foundational concepts and progressively explores advanced techniques, equipping you with the skills to tackle real-world challenges. Throughout the chapters, you’ll dive deep into the core principles of data replication, partitioning, and load balancing, while gaining hands-on experience with AWS services like S3, DynamoDB, Redshift, and Glue. Learn to design resilient data architectures, optimize performance, and ensure seamless data transformation—all while adhering to best practices in cost-efficiency and security. Whether you aim to streamline your organization’s data flow, enhance your cloud expertise, or future-proof your career in data engineering, this comprehensive guide offers the practical knowledge and insights you need to succeed. By the end, you will be ready to craft impactful, data-driven solutions on AWS with confidence and expertise. WHAT WILL YOU LEARN ● Design scalable data pipelines using core AWS data engineering tools. ● Master data replication, partitioning, and sharding techniques on AWS. ● Build fault-tolerant architectures with AWS scalability and reliability. ● Optimize data storage and processing with Redshift, S3, and Glue. ● Implement secure, cost-effective workflows for real-world data challenges. ● Integrate machine learning into pipelines with SageMaker and AWS AI tools. WHO IS THIS BOOK FOR? This book is tailored for aspiring and experienced data engineers, cloud architects, and IT professionals aiming to master AWS data engineering. Whether you are new to the field or looking to enhance your expertise, this comprehensive guide equips you with the skills to design, implement, and optimize scalable data solutions on AWS. TABLE OF CONTENTS 1. Unveiling the Secrets of Data Engineering 2. Architecting for Scalability: Data Replication Techniques 3. Partitioning and Sharding: Optimizing Data Management 4. Ensuring Consistency: Consensus Mechanisms and Models 5. Balancing the Load: Achieving Performance and Efficiency 6. Building Fault-Tolerant Architectures 7. Exploring the Realm of AWS Data Storage Services 8. Orchestrating Data Flow 9. Advanced Data Pipelines and Transformation 10. Data Warehousing Demystified 11. Visualizing the Unseen 12. AWS Machine Learning: Classic AI to Generative AI 13. Advanced Data Engineering with AWS Index
Ultimate Pentesting For Web Applications Unlock Advanced Web App Security Through Penetration Testing Using Burp Suite Zap Proxy Fiddler Charles Proxy And Python For Robust Defense
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Author : Dr. Rohit
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2024-05-10
Ultimate Pentesting For Web Applications Unlock Advanced Web App Security Through Penetration Testing Using Burp Suite Zap Proxy Fiddler Charles Proxy And Python For Robust Defense written by Dr. Rohit and has been published by Orange Education Pvt Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-10 with Computers categories.
Learn how real-life hackers and pentesters break into systems. Key Features● Dive deep into hands-on methodologies designed to fortify web security and penetration testing. ● Gain invaluable insights from real-world case studies that bridge theory with practice. ● Leverage the latest tools, frameworks, and methodologies to adapt to evolving cybersecurity landscapes and maintain robust web security posture. Book DescriptionDiscover the essential tools and insights to safeguard your digital assets with the "Ultimate Pentesting for Web Applications". This essential resource comprehensively covers ethical hacking fundamentals to advanced testing methodologies, making it a one-stop resource for web application security knowledge. Delve into the intricacies of security testing in web applications, exploring powerful tools like Burp Suite, ZAP Proxy, Fiddler, and Charles Proxy. Real-world case studies dissect recent security breaches, offering practical insights into identifying vulnerabilities and fortifying web applications against attacks. This handbook provides step-by-step tutorials, insightful discussions, and actionable advice, serving as a trusted companion for individuals engaged in web application security. Each chapter covers vital topics, from creating ethical hacking environments to incorporating proxy tools into web browsers. It offers essential knowledge and practical skills to navigate the intricate cybersecurity landscape confidently. By the end of this book, you will gain the expertise to identify, prevent, and address cyber threats, bolstering the resilience of web applications in the modern digital era. What you will learn ● Learn how to fortify your digital assets by mastering the core principles of web application security and penetration testing. ● Dive into hands-on tutorials using industry-leading tools such as Burp Suite, ZAP Proxy, Fiddler, and Charles Proxy to conduct thorough security tests. ● Analyze real-world case studies of recent security breaches to identify vulnerabilities and apply practical techniques to secure web applications. ● Gain practical skills and knowledge that you can immediately apply to enhance the security posture of your web applications. Table of Contents1. The Basics of Ethical Hacking 2. Linux Fundamentals 3. Networking Fundamentals 4. Cryptography and Steganography 5. Social Engineering Attacks 6. Reconnaissance and OSINT 7. Security Testing and Proxy Tools 8. Cross-Site Scripting 9. Authentication Bypass Techniques Index
Data Engineering With Google Cloud Platform
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Author : Adi Wijaya
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-03-31
Data Engineering With Google Cloud Platform written by Adi Wijaya and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-31 with Computers categories.
Build and deploy your own data pipelines on GCP, make key architectural decisions, and gain the confidence to boost your career as a data engineer Key Features Understand data engineering concepts, the role of a data engineer, and the benefits of using GCP for building your solution Learn how to use the various GCP products to ingest, consume, and transform data and orchestrate pipelines Discover tips to prepare for and pass the Professional Data Engineer exam Book DescriptionWith this book, you'll understand how the highly scalable Google Cloud Platform (GCP) enables data engineers to create end-to-end data pipelines right from storing and processing data and workflow orchestration to presenting data through visualization dashboards. Starting with a quick overview of the fundamental concepts of data engineering, you'll learn the various responsibilities of a data engineer and how GCP plays a vital role in fulfilling those responsibilities. As you progress through the chapters, you'll be able to leverage GCP products to build a sample data warehouse using Cloud Storage and BigQuery and a data lake using Dataproc. The book gradually takes you through operations such as data ingestion, data cleansing, transformation, and integrating data with other sources. You'll learn how to design IAM for data governance, deploy ML pipelines with the Vertex AI, leverage pre-built GCP models as a service, and visualize data with Google Data Studio to build compelling reports. Finally, you'll find tips on how to boost your career as a data engineer, take the Professional Data Engineer certification exam, and get ready to become an expert in data engineering with GCP. By the end of this data engineering book, you'll have developed the skills to perform core data engineering tasks and build efficient ETL data pipelines with GCP.What you will learn Load data into BigQuery and materialize its output for downstream consumption Build data pipeline orchestration using Cloud Composer Develop Airflow jobs to orchestrate and automate a data warehouse Build a Hadoop data lake, create ephemeral clusters, and run jobs on the Dataproc cluster Leverage Pub/Sub for messaging and ingestion for event-driven systems Use Dataflow to perform ETL on streaming data Unlock the power of your data with Data Studio Calculate the GCP cost estimation for your end-to-end data solutions Who this book is for This book is for data engineers, data analysts, and anyone looking to design and manage data processing pipelines using GCP. You'll find this book useful if you are preparing to take Google's Professional Data Engineer exam. Beginner-level understanding of data science, the Python programming language, and Linux commands is necessary. A basic understanding of data processing and cloud computing, in general, will help you make the most out of this book.
Mastering Big Data Engineering Aws Gcp Azure Showdown
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Author : Muthuraman Saminathan
language : en
Publisher: Libertatem Media Private Limited
Release Date : 2024-02-16
Mastering Big Data Engineering Aws Gcp Azure Showdown written by Muthuraman Saminathan and has been published by Libertatem Media Private Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-16 with Business & Economics categories.
In the rapidly evolving field of AI, operationalizing large language models (LLMs) has become a defining challenge. The LLMOps Advantage: Navigating the Future of AI is your comprehensive guide to mastering the deployment, monitoring, and scaling of LLMs in real-world applications. This book bridges the gap between model development and production, introducing readers to the specialized domain of LLMOps—a subset of MLOps tailored to the unique demands of large language models. From building scalable pipelines and optimizing inference workflows to ensuring compliance and security, this guide covers every aspect of operationalizing LLMs. Explore deployment strategies across platforms like AWS, Azure, GCP, and Hugging Face, learn about containerization and serverless architectures, and dive into tools for monitoring and observability such as Prometheus and Grafana. Through practical frameworks and case studies, the book provides actionable insights into managing performance metrics, addressing model drift, and leveraging distributed systems for scalability. Designed for data scientists, LLM engineers, and AI practitioners, The LLMOps Advantage also delves into ethical considerations, emerging trends like multi-modal models, and best practices for integrating LLMs with existing workflows. Whether you ' re fine-tuning models for specific tasks or scaling solutions to meet enterprise needs, this book equips you with the expertise to harness the full potential of LLMs. Stay ahead in the AI revolution with The LLMOps Advantage—your essential roadmap to mastering the future of large language model operations.
Ultimate Azure Synapse Analytics Unlock The Full Potential Of Azure Synapse Analytics To Seamlessly Integrate Analyze And Optimize Complex Data For Enhanced Business Insights And Decision Making
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Author : Swapnil Mule
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2024-06-29
Ultimate Azure Synapse Analytics Unlock The Full Potential Of Azure Synapse Analytics To Seamlessly Integrate Analyze And Optimize Complex Data For Enhanced Business Insights And Decision Making written by Swapnil Mule and has been published by Orange Education Pvt Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-29 with Computers categories.
Empower Your Data Insights with Azure Synapse Analytics Key Features● Leverage Azure Synapse Analytics for data warehousing, big data analytics, and machine learning in one environment. ● Integrate with Azure services like Azure Data Lake Storage and Azure Machine Learning to enhance analytics. ● Gain insights from real-world examples and best practices to solve complex data challenges. Book DescriptionUnlock the full potential of Azure Synapse Analytics with Ultimate Azure Synapse Analytics your definitive roadmap to mastering the art of data analytics in the cloud era. From the foundational concepts to advanced techniques, each chapter offers practical insights and hands-on tutorials to streamline your data workflows and drive actionable insights. Discover how Azure Synapse Analytics revolutionizes data processing and integration, empowering you to harness the vast capabilities of the Azure ecosystem. Seamlessly transition from traditional data warehousing to cutting-edge big data analytics, leveraging serverless and dedicated resources for optimal performance. Dive deep into Synapse SQL, explore advanced data engineering with Apache Spark, and delve into machine learning and DevOps practices to stay ahead in today's data-driven landscape. Whether you're seeking to optimize performance, ensure compliance, or facilitate seamless migration, this book provides the expertise needed to excel in your role. Gain valuable insights into industry best practices, enhance your data engineering skills, and drive innovation within your organization. What you will learn ● Understand the significance of Azure Synapse Analytics in modern data analytics. ● Learn to set up and configure your Synapse workspace for efficient data processing. ● Dive into Synapse SQL and discover techniques for data exploration and analysis. ● Master advanced techniques for seamless data integration into Azure Synapse Analytics. ● Explore big data engineering concepts and leverage Apache Spark for scalable data processing. ● Discover how to implement machine learning models and algorithms using Synapse Analytics. ● Ensure data security and regulatory compliance with effective security measures in Azure Synapse Analytics. ● Optimize performance and efficiency through performance tuning strategies and optimization techniques. Table of Contents1. The World of Azure Synapse Analytics 2. Setting Up the Synapse Workspace 3. Synapse SQL and Data Exploration 4. Data Integration Technique 5. Big Data Engineering with Apache Spark 6. Machine Learning with Synapse 7. Implementing Security and Compliance 8. Performance Tuning and Optimization 9. DevOps for Data Engineering 10. Ensuring Implementation Success and Effective Migration Index
Data Engineering For Ai
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Author : Sundeep Goud Katta
language : en
Publisher: BPB Publications
Release Date : 2025-06-26
Data Engineering For Ai written by Sundeep Goud Katta and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-26 with Computers categories.
DESCRIPTION Data engineering is the critical discipline of building and maintaining the systems that enable organizations to collect, store, process, and analyze vast amounts of data, especially for advanced applications like AI and ML. It is about ensuring that it is reliable, accessible, and high-quality for everyone who needs it. This book provides a thorough exploration of the complete data lifecycle, starting with data engineering's development and its vital link to AI. It provides an overview of scalable data practices, from legacy systems to cutting-edge techniques. The reader will explore real-time data collection, secure ingestion, optimized storage, and dynamic processing techniques. The book features detailed discussions on ETL and ELT frameworks, performance tuning, and quality assurance that are complemented by real-world case studies. All these empower the data engineers to design systems that are seamless and integrate well with AI pipelines, driving innovation across diverse industries. By the end of this book, readers will be well-equipped to design, implement, and manage scalable data engineering solutions that effectively support and drive AI initiatives within any organization. WHAT YOU WILL LEARN ● Design real-time data ingestion and processing systems. ● Implement optimized data storage solutions for AI workloads. ● Ensure data quality, compliance in dynamically changing environments. ● Build scalable data collection methods, including for AI training data. ● Apply data engineering solutions in complex, real-world AI projects. ● Conduct SQL analytics and craft insightful, AI-driven visualizations. WHO THIS BOOK IS FOR This book is for data engineers, AI practitioners, and curious professionals with a foundational understanding of databases, programming, and ETL processes. A basic understanding of computer science concepts, cloud computing, and analytics is helpful. TABLE OF CONTENTS 1. Introduction to Data Engineering in AI 2. Managing Data Collection 3. Data Ingestion in Action 4. Data Storage in Real-time 5. Data Processing Techniques and Best Practices 6. Data Integration and Interoperability 7. Ensuring Data Quality 8. Understanding Data Analytics 9. Data Visualization and Reporting 10. Operational Data Security 11. Protecting Data Privacy 12. Data Engineering Case Studies
Mastering Performance Optimization In Python Unlock The Secrets Of Expert Level Skills
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Author : Larry Jones
language : en
Publisher: Walzone Press
Release Date : 2025-03-04
Mastering Performance Optimization In Python Unlock The Secrets Of Expert Level Skills written by Larry Jones and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-04 with Computers categories.
Dive deep into the art and science of Python performance enhancement with "Mastering Performance Optimization in Python: Unlock the Secrets of Expert-Level Skills." This advanced guide transforms seasoned developers into Python performance experts by exploring sophisticated techniques that elevate coding prowess. From runtime environments and data handling to memory management and concurrency, this book provides the essential insights needed to navigate and conquer complex performance challenges. Each chapter meticulously breaks down intricate concepts, presenting clear, actionable strategies for real-world application. Discover how to leverage Python's built-in libraries, utilize asynchronous programming, and implement multithreading and multiprocessing for optimal efficiency. With a focus on profiling, benchmarking, and continuous monitoring, the book ensures that readers develop the skills to not only identify but also rectify performance bottlenecks, delivering applications that are both robust and scalable. "Mastering Performance Optimization in Python" is more than a technical manual—it's a key to unlocking efficiency. With practical examples and expert insights, this book empowers you to elevate your Python applications and redefine performance standards in your projects. Equip yourself with the tools and knowledge to push boundaries and achieve excellence in Python programming.